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AI-driven virtual circuits enhance plasma control in fusion experiments

By PulseAugur Editorial · [1 sources] ·

Researchers have developed and tested a new method for controlling plasma shape in tokamak fusion reactors using neural network emulators. This system integrates with the MAST-U plasma control system (PCS) by predicting plasma shape based on current and coil parameters. The approach utilizes a real-time C++ inference server to provide shape predictions and Jacobian matrices, enabling the computation of virtual circuit matrices and updated coil current requests for precise actuation. This framework aims to build confidence in AI-based control for fusion systems, with direct applications for upcoming MAST-U experiments and future fusion devices. AI

IMPACT This research demonstrates a practical application of AI for enhancing control systems in fusion energy, potentially accelerating the development of future fusion devices.

RANK_REASON Research paper detailing a new AI-based control method for fusion reactors. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI-driven virtual circuits enhance plasma control in fusion experiments

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Research paper detailing a new AI-based control method for fusion reactors. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Matthew J. Marshall, Edward Jones, Graham J. McArdle, Alasdair Ross, Kamran Pentland, Nicola C. Amorisco, Charles Vincent, Martin Kochan, Colin Hogben, Graham Jones, Adam Stephen, George K. Holt, Adriano Agnello ·

    Real-time virtual circuits for plasma shape control via neural network emulators: integration and testing in the MAST-U PCS

    arXiv:2608.26216v1 Announce Type: cross Abstract: The deployment of advanced, AI-enabled control algorithms in tokamak experiments requires robust integration with existing plasma control system (PCS) architectures and extensive pre-experimental validation. In this contribution, …

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